10. It’s Christmas

In this lab, we will use functions to help us prepare for Christmas, including decorating a Christmas tree.

1. Christmas BUDGET

• transportation=10
• meal = 15
• presents = 50
• activities = 25

The following code will create a pie chart of this budget.

import matplotlib.pyplot as plt  #plot library
fig, ax = plt.subplots(figsize=(5,5)) #you can adjust the figsize  (5,5)=(length,width)
        
budget_items = ['transportation','meal','presents','activities'] #categories
budget = [10,15,50,25] #enter the amounts for 'presents' and 'activities
total=sum(budget)
ax=plt.pie(budget,labels=budget_items,autopct=lambda p: '${:.0f}'.format(p * total / 100)) #make pie chart  autopct='%1.0f%%'
plt.gca().set_title("Christmas Budget") #add a title

Text(0.5, 1.0, 'Christmas Budget')



2. Word Cloud Christmas Card

We'll use the lyrics to the Twelve Days of Christmas as the background for a Chistmas card.

import wordcloud

#Define a function which counts the interesting words
def calculate_frequencies(textfile):
    #list of punctuations
    punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~'''
    #list of uninteresting words 
    uninteresting_words = ["AND","BY","IT","THE","THAT","A","IS","HAD","TO","NOT","BUT","FOR","OF","WHICH","IF","IN","ON","WERE","YE","THOU"]
    
     # removes punctuation and uninteresting words
    import re
    fc1=str(textfile)
    fc2= fc1.split(' ')
    for i in range(len(fc2)): 
        fc2[i] = fc2[i].upper()
    #Remove punctuations
    fc3 = []
    for s in fc2:
        if not any([o in s for o in punctuations]):
            fc3.append(s)
    #Remove uninteresting words
    fc4=[]
    for s in fc3:
        if not any([o in s for o in uninteresting_words]):
            fc4.append(s)
    fc5=[]
    for s in fc4:
        if not any([o.lower() in s for o in uninteresting_words]):
            fc5.append(s)
            
    while('' in fc5) : 
        fc5.remove('') 
        
    import collections
    fc6 = collections.Counter(fc5)

    #wordcloud
    cloud = wordcloud.WordCloud( max_words = 12)  #can adjust the number of words
    cloud.generate_from_frequencies(fc6)
    return cloud.to_array()

#Open the text file with the words to be plotted.
with open('twelvedays.txt','r') as file:  
    carol = file.readlines()
    
#make the wordcloud   
carol = calculate_frequencies(carol)
plt.imshow(carol, interpolation = 'nearest')
plt.text(-5,70,"Merry Christmas!",color='r',size=40) #Add Christmas! after Merry
plt.axis('off')
plt.savefig('card.png', bbox_inches='tight')  



3. Analysis of Christmas Hits

Read and display the first five lines in the file christmas_billboard_data.csv. What song appears on the chart the greatest number of times?

import pandas as pd
df=pd.read_csv("christmas_billboard_data.csv")
df.head()

	url	weekid	week_position	song	performer	songid	instance	previous_week_position	peak_position	weeks_on_chart	year	month	day
0	http://www.billboard.com/charts/hot-100/1958-1...	12/13/1958	83	RUN RUDOLPH RUN	Chuck Berry	Run Rudolph RunChuck Berry	1	NaN	69	3	1958	12	13
1	http://www.billboard.com/charts/hot-100/1958-1...	12/20/1958	57	JINGLE BELL ROCK	Bobby Helms	Jingle Bell RockBobby Helms	1	NaN	29	19	1958	12	20
2	http://www.billboard.com/charts/hot-100/1958-1...	12/20/1958	73	RUN RUDOLPH RUN	Chuck Berry	Run Rudolph RunChuck Berry	1	83.0	69	3	1958	12	20
3	http://www.billboard.com/charts/hot-100/1958-1...	12/20/1958	86	WHITE CHRISTMAS	Bing Crosby	White ChristmasBing Crosby	1	NaN	12	13	1958	12	20
4	http://www.billboard.com/charts/hot-100/1958-1...	12/27/1958	44	GREEN CHRI$TMA$	Stan Freberg	Green Chri$tma$Stan Freberg	1	NaN	44	2	1958	12	27

df["song"].value_counts()  #add the missing info

song
JINGLE BELL ROCK                               28
ALL I WANT FOR CHRISTMAS IS YOU                20
ROCKIN' AROUND THE CHRISTMAS TREE              19
WHITE CHRISTMAS                                16
THE CHIPMUNK SONG (CHRISTMAS DON'T BE LATE)    16
                                               ..
BLUE CHRISTMAS                                  1
CHILD OF GOD                                    1
GREATEST TIME OF YEAR                           1
WHERE ARE YOU CHRISTMAS?                        1
IT'S THE MOST WONDERFUL TIME OF THE YEAR        1
Name: count, Length: 70, dtype: int64

4. Creating a Christmas Carol

import numpy as np
from IPython.display import Audio 
rest=0
do=220
re=9/8*220
mi=5/4*220
fa=4/3*220
so=3/2*220
la=5/3*220
ti=15/8*220
do1=2*220
re1=2*9/8*220
mi1=2*5/4*220
fa1=2*4/3*220
so1=2*3/2*220
la1=2*5/3*220
ti1=2*15/8*220
do2=2*2*220
la0=5/3*110
do0=110
silentnight=[so,la,so,mi,mi,mi,so,la,so,mi,mi,mi,re1,rest,re1,ti,ti,ti,do1,rest,do1,so,so,so,la,rest,la,do1,ti,la,so,la,so,mi,mi,mi,la,rest,la,do1,ti,la,so,la,so,mi,mi,mi,re1,rest,re1,fa1,re1,ti,do1,do1,do1,mi1,mi1,mi1,do1,so,mi,so,fa,re,do,do,do,do,do,do]

def play(song):
    song=np.array(song)
    framerate = 44100
    t = np.linspace(0, len(song) / 2, round(framerate * len(song) / 2))[:-1]
    song_idx = np.floor(t * 2).astype(int)
    data = np.sin(2 * np.pi * song[song_idx] * t)
    return Audio(data, rate=framerate, autoplay=True)
play(silentnight) #supply what is missing to this function

5. Decorating a Christmas Tree

a) Import libraries.

import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from matplotlib.offsetbox import TextArea, DrawingArea, OffsetImage, AnnotationBbox
import numpy as np

b) Create an ornament class.

class ORNAMENT:
    def __init__(self,x,y,image,size):   #properties
        self.x=x  #object's position is (x,y)
        self.y=y
        self.image=image  #name of the image file
        self.size=size  #specify the size
        
    def moveup(self,yamount):  #method to move the object vertically
        self.y = self.y+yamount
        
    def movedown(self,yamount):  #method to move the object vertically
        self.y = self.y-yamount
                    
                    
    def moveright(self,xamount):  #method to move the object horizontally
        self.x = self.x+xamount
        
    def moveleft(self,xamount):  #method to move the object horizontally
        self.x = self.x-xamount
        
    def zoom(self,factor):   #method to enlarge or shrink the object
        self.size= self.size*factor

        return  

c) Create the ornament objects and position them on a tree.

#create ornament objects
o1=ORNAMENT(.1,.7,'O1.jpg',.3)
o2=ORNAMENT(.1,.4,'O2.jpg',.2)
o3=ORNAMENT(.1,.2,'O3.jpg',.3)
star=ORNAMENT(.9,.5,'star.png',.1)

#create a function to put the ornaments on a tree
def decorate(o1,o2,o3,star):
    #make a graph
    fig, ax = plt.subplots(frameon=False)
    ax.set_aspect('equal')

    #add a tree
    treefig = mpimg.imread('xtree.png')
    imagebox = OffsetImage(treefig, zoom=0.5)
    ab = AnnotationBbox(imagebox, (0.5, 0.45),frameon=False)
    ax.add_artist(ab)

    orn1 = mpimg.imread(o1.image)
    imagebox= OffsetImage(orn1, zoom=o1.size)
    firstorn = AnnotationBbox(imagebox, (o1.x, o1.y),frameon=False)
    ax.add_artist(firstorn)

    orn2 = mpimg.imread(o2.image)
    imagebox= OffsetImage(orn2, zoom=o2.size)
    secondorn = AnnotationBbox(imagebox, (o2.x, o2.y),frameon=False)
    ax.add_artist(secondorn)


    orn3 = mpimg.imread(o3.image)
    imagebox= OffsetImage(orn3, zoom=o3.size)
    thirdorn = AnnotationBbox(imagebox, (o3.x, o3.y),frameon=False)
    ax.add_artist(thirdorn)

    starorn = mpimg.imread(star.image)
    imagebox= OffsetImage(starorn, zoom=star.size)
    thirdorn = AnnotationBbox(imagebox, (star.x, star.y),frameon=False)
    ax.add_artist(thirdorn)
    return

Let’s start decorating!

decorate(o1,o2,o3,star)



Let’s move the first ornament (o1) to the right by .4 units.

o1.moveright(.4)
decorate(o1,o2,o3,star)



ASSIGNMENT

Now you can finish decorating the tree!

Solution

o2.moveright(.3)
o3.moveright(.5)
decorate(o1,o2,o3,star)



star.moveleft(.37)
star.moveup(.5)
decorate(o1,o2,o3,star)